Aug 19, 2019 · In the resource allocation step, a multi-agent hierarchical learning (MAHL) algorithm with personalized incentives based on multi-leader multi- ...

In the process of D2D multicast community formation, the best core users for content distribution in the network are selected in consideration of both ...

Unlike the existing works, this paper performs the D2D video multicast in two steps: community formation and resource allocation. In the process of D2D ...

Resource Allocation for D2D Video Multicast Using Multi-Leader Multi-Follower Stackelberg Game With Personalized Incentives · Jingjing WangYanjing Sun +4 ...

In this paper, we address the optimization of the energy efficiency of underlay multicast device-to-device (D2MD) communications on cellular networks.

In this paper, we address the optimization of the energy efficiency of underlay multicast device-to-device (D2MD) communications on cellular networks.

In this article, we propose a social-aware D2D caching scheme that integrates the concept of social incentive and recommendation with D2D caching decision ...

Resource Allocation for D2D Video Multicast Using Multi-Leader Multi-Follower Stackelberg Game With Personalized Incentives. Authors: Jingjing Wang ...

“Resource Allocation for D2D Video Multicast Using Multi-Leader. Multi-Follower Stackelberg Game With Personalized Incentives,”. IEEE Access, vol. 7, pp. 117 ...

Wang et al., “Resource allocation for D2D video multicast using multi-leader multi-follower stackelberg game with personalized incentives,” IEEE Access, vol.